DAO - LJK Team

mathematical optimization and its interactions

DAO team of LJK focuses on mathematical optimization and its interactions with machine learning, statistics, and signal processing. Our research topics include various aspects of optimization (stochastic, under uncertainty, online, distributed…). Our work is at the intersection between theory, algorithms, and applications. Our team hosts two MIAI chairs and has a track-record of industrial collaborations. The team also hosts the subgroup on deep learning for biology, called GruLab.

Publications

Team's publications (from HAL)

Meet us at

Members

Aurore Barthélémy, Admin.
Anatoli Iouditski, Prof.
Jérôme Lelong, Prof.
Sylvain Meignen, A. Prof.
Sergei Grudinin, CR CNRS
Jérôme Malick, DR CNRS
Hamza Ennaji, A. Prof.
Salem Said, CR CNRS
William Triggs, DR CNRS

PhD students & Postdoctoral students

Anastasiia Ivanova, PhD Stud.
Dmitrii Zhemchuzhnikov, PhD Stud.
Roman Klypa, PhD Stud.
Pierre-Louis Cauvin, PhD Stud.
Victor Mercklé, PhD Stud.
Selim Chraibi, PhD Stud.
Waïss Azizian, PhD Stud.
Florian Vincent, PhD Stud.

Past members

Franck Iutzeler, Prof. — Toulouse (IMT)
Tam Le, PHD — MCF Paris Cité
Anestis Antoniadis, Ret.
Marianne Clausel, Prof. — Nancy
+ 10 PhD students over the last 3 years